2.3 KiB
2.3 KiB
Architecture Plan for TurtleOnTime.py
Overview
This document outlines a plan to refactor the TurtleOnTime.py
file to improve its architecture, maintainability, and testability.
Current Issues
- Single Responsibility Principle violation
- Tight coupling
- Lack of modularity
- Limited testability
Proposed Solution
- Refactor the
TurtleTrading
class into smaller, more focused classes. - Introduce dependency injection to decouple components.
- Create a configuration class to store configuration parameters.
- Implement robust error handling.
- Add logging.
- Create unit tests.
Class Diagram
graph TD
A[Understand Current Architecture] --> B{Read TurtleOnTime.py};
B --> C[Identify Key Components];
C --> D[Analyze Data Flow];
D --> E[Assess Code Structure & Modularity];
E --> F[Identify Potential Bottlenecks & Areas for Improvement];
F --> G[Propose Architectural Changes & Refactoring];
G --> H[Create Detailed Improvement Plan];
H --> I[Present Improvement Plan (Mermaid Diagram)];
I --> J[Seek User Approval];
J -- Approved --> K[Write to File (if approved)];
J -- Rejected --> L[Revise Plan];
L --> I;
graph TD
A[TurtleTrading Class] --> B(DataFetcher Class)
A --> C(DonchianChannelCalculator Class)
A --> D(PositionSizer Class)
A --> E(TradingStrategy Class)
F[Config Class] --> A
G[Unit Tests] --> A
Detailed Steps
- DataFetcher Class: Responsible for fetching data from various sources (e.g., Akshare). Should be configurable to support different data sources.
- DonchianChannelCalculator Class: Calculates Donchian channels. Should be reusable for different timeframes.
- PositionSizer Class: Determines the size of positions based on risk tolerance and other factors.
- TradingStrategy Class: Encapsulates the trading logic. Should be easily swappable to test different strategies.
- Config Class: Stores configuration parameters, such as data source URLs and trading strategy parameters.
- Error Handling: Implement try-except blocks to catch and handle exceptions gracefully. Log errors to a file for debugging.
- Logging: Use a logging library to track important events and debug issues.
- Unit Tests: Create unit tests to verify the correctness of individual components.